Red neuronal no iterativa de función de base radial para control de calidad por medio de imagenes (Non-iterative Radial Basis Function Neural Networks to Quality Control via Image Processing)

Pascual Noradino Montes Dorantes (pascualresearch@gmail.com)1, Gerardo Maximiliano Méndez (gmm_paper@yahoo.com.mx)2


1Universidad Autónoma del Noreste, División de estudios de posgrado e investigación, Blvd. José Musa de León y General Medardo de la Peña S/N, Col. Los Pinos, C.P. 25100, Saltillo, Coahuila, México
2Instituto Tecnológico de Nuevo León, Av. Eloy Cavazos 2001, Guadalupe Nuevo León, Posgrado en Ingeniería Mecatrónica

This paper appears in: Revista IEEE América Latina

Publication Date: Oct. 2015
Volume: 13,   Issue: 10 
ISSN: 1548-0992


Abstract:
This paper presents non-iterative radial basis function network hybridized with factorial design 2k that optimizes the modelling phase for the network, to train the model is used only one iteration to generate online system and avoid the overtraining caused by the multiple iterations.

Index Terms:
RBFN, Radial basis function network, factorial design, expert systems, quality control, artificial vision   


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